Wen Tang
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 8
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 15
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 7
- DNA Repair Mechanisms 4
- Plant Science top 2%
- Chromosomal and Genetic Variations 11
- Cancer Research top 10%
- Structural Biology top 10%
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- Microscopic Colitis 4
- Co-authors
- Jan‐Michael PetersGordana WutzIain F. DavidsonBenedikt BauerRoman R. StocsitsJan EllenbergKota NagasakaPeter Baumann
- Cited by
- AgingMolecular BiologyPlant Science
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Wen Tang
60 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 130
- Molecular Biology 2.9k
- Plant Science 933
- Cancer Research 208
- Structural Biology 16
Countries citing papers authored by Wen Tang
This map shows the geographic impact of Wen Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wen Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Tang more than expected).
Fields of papers citing papers by Wen Tang
This network shows the impact of papers produced by Wen Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wen Tang. The network helps show where Wen Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 4 | |
| 5 | CTCF is a DNA-tension-dependent barrier to cohesin-mediated loop extrusionbreakdown → | 2023 | 94 |
| 6 | 2023 | 24 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 101 | |
| 11 | 2020 | 111 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 11 | |
| 14 | DNA loop extrusion by human cohesinbreakdown → | 2019 | 538 |
| 15 | 2019 | 73 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 34 | |
| 18 | Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteinsbreakdown → | 2017 | 545 |
| 19 | 2016 | 2 | |
| 20 | 2014 | 0 |
About Wen Tang
Wen Tang is a scholar working on Aging, Structural Biology and Molecular Biology, having authored 63 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Chromosomal and Genetic Variations (11 papers), RNA Research and Splicing (11 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), RNA and protein synthesis mechanisms (8 papers), CRISPR and Genetic Engineering (7 papers), DNA Repair Mechanisms (4 papers) and Microscopic Colitis (4 papers). The work is most often cited by research in Aging (130 citations), Molecular Biology (2.9k citations) and Plant Science (933 citations). Wen Tang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Jan‐Michael Peters, Gordana Wutz, Iain F. Davidson, Benedikt Bauer, Roman R. Stocsits, Jan Ellenberg, Kota Nagasaka, Peter Baumann, David A. Cisneros and Craig C. Mello. Their work appears in journals such as Nature, Science and Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.